Description
Build a multi-agent research workflow in n8n with an orchestrator that assigns work to specialist agents. The project introduces shared memory and tool connections, then compares sequential coordination with tasks that can run in parallel. The course also discusses when dividing work between agents is useful and when the added coordination can cause problems.
The implementation considers lost context, repeating loops and failed workflow steps. Human review and error-handling paths are introduced alongside the agent nodes, so learners can follow how the overall process stays understandable as it becomes more complex. Video demonstrations, node-by-node construction and text challenges support the deep-research project described on the source page.
Intended audience: Developers and automation professionals building agent workflows with n8n. Learners investigating coordination patterns for multi-agent systems.
What you will learn
- Create an n8n orchestrator that delegates to specialized agents.
- Connect tools and shared memory to a multi-agent workflow.
- Compare sequential and parallel coordination patterns.
- Add human review and error handling while investigating loops and context loss.
Course specifications
- Publisher
- Instructors
- Tobias Zwingmann
- Duration
- 1 hour and 37 minutes
- Subtitle
- English
- Quality
- 1080p
- Level
- Intermediate
- Edition
- 2026-9
Course topics
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Pictures
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Introduction video
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Size
371 MB
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